Fuzzy querying of incomplete, imprecise, and heterogeneously structured data in the relational model using ontologies and rules.

Fuzzy querying of incomplete, imprecise, and heterogeneously structured data in the relational model using ontologies and rules.

In this paper, we present a new method, called multiview fuzzy querying, which permits to query incomplete, imprecise and heterogeneously structured data stored in a relational database. This method has been implemented in the MIEL software. MIEL is used to query the Sym'Previus database which...

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Detalles Bibliográficos
Publicado en:IEEE Transactions on fuzzy systems 13, 3 (2005).
Autor Principal: Buche, P.
Formato: Artigo
Idioma:English
Subjects:
MIEL software.
Biological processes.
Food products.
Fuzzy pattern matching.
Fuzzy sets.
Heterogeneously structured data.
Multiview fuzzy querying.
Ontologies.
Pathogenic germs.
Relational database.